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[Docs] Fix the outdated URL for installing from vLLM binaries (#21523)

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Signed-off-by: Kay Yan <kay.yan@daocloud.io>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Kay Yan
2025-07-29 19:56:27 +08:00
committed by GitHub
parent 61a6905ab0
commit 2470419119
2 changed files with 5 additions and 6 deletions
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docs/contributing/ci/update_pytorch_version.md
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@@ -57,8 +57,7 @@ cc the PyTorch release team to initiate discussion on how to address them.
## Update CUDA version
The PyTorch release matrix includes both stable and experimental [CUDA versions](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix). Due to limitations, only the latest stable CUDA version (for example,
`torch2.7.0+cu12.6`) is uploaded to PyPI. However, vLLM may require a different CUDA version,
The PyTorch release matrix includes both stable and experimental [CUDA versions](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix). Due to limitations, only the latest stable CUDA version (for example, torch `2.7.1+cu126`) is uploaded to PyPI. However, vLLM may require a different CUDA version,
such as 12.8 for Blackwell support.
This complicates the process as we cannot use the out-of-the-box
`pip install torch torchvision torchaudio` command. The solution is to use